CN105259752A - Load distribution method, device and system for device cluster - Google Patents

Load distribution method, device and system for device cluster Download PDF

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Publication number
CN105259752A
CN105259752A CN201510802616.5A CN201510802616A CN105259752A CN 105259752 A CN105259752 A CN 105259752A CN 201510802616 A CN201510802616 A CN 201510802616A CN 105259752 A CN105259752 A CN 105259752A
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load
combination
equipment
total
optimal
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CN105259752B (en
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沈启
张远
乔晓峰
宋悦
刘伟鑫
李超
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Borui Shangge Technology Co., Ltd
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Beijing Persagy Energy-Saving Technology Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses a load distribution method, device and system for a device cluster. According to one specific embodiment, the method includes the following steps that: an external instruction containing working parameter indexes and total load indexes is received; the optimal load quantity of each device in the device cluster is obtained according to the working parameter indexes; a first optimal device combination and a second optimal device combination are selected from the device cluster according to the optimal load quantity of each device in the device cluster; a first optimal load distribution scheme corresponding to the first optimal device combination and a second optimal load distribution scheme corresponding to the second optimal device combination are obtained; and a load distribution scheme with small energy consumption is selected from the first optimal device combination and the second optimal load distribution scheme as an actual load distribution scheme of the operation of the device cluster. With the load distribution method for the device cluster provided by the embodiment adopted, the overall operation efficiency of the device cluster can be improved, and the timeliness and accuracy of optimal control on the device cluster can be effectively improved.

Description

For the load distribution method of equipment group, device and system
Technical field
The application relates to automation control area, is specifically related to group control technology field, particularly relates to for the load distribution method of equipment group, device and system.
Background technology
The control system of large scale computer electric system can be analyzed to several relatively independent subsystems usually.It is in parallel that multiple stage same category of device is set in some subsystem, forms dynamo-electric device cluster group.Equipment group can, by adjusting the number of units of the equipment that put into operation, make equipment and subsystem operate in higher efficiency range.
In order to adapt to the operating mode of different loads rate more efficiently, electromechanical equipment group is made up of the same category of device of different model or rated capacity usually.On the other hand, even if identical equipment, its performance also can there are differences after long-time running.This makes equipment group when performing optimal control, needs to open which platform according to the behavior pattern decision making package of individual device under extraneous demand and current operating condition and each drops into how many loads respectively, to improve the work efficiency of overall system.
Present stage, electromechanical equipment cohort control techniques, still based on very conservative operation reserve, can only ensure effective start and stop of equipment in Practical Project, and the real-time optimization being difficult to the system that realizes regulates.And for the Simulation Control scheme of system-oriented real-time optimization, again because need poor in central machine manual configuration, extendability and dirigibility, can not widespread use in Practical Project.Therefore, need badly and prior art is optimized and improves.
Summary of the invention
The object of the application is to propose a kind of load distribution method for equipment group of improvement, device and system, solves the technical matters that above background technology part is mentioned.
First aspect, this application provides a kind of load distribution method for equipment group, described equipment group comprises the equipment of at least one identical type, described method comprises: receive the external command comprising running parameter index and total load index, wherein, described running parameter index is the running parameter preset the equipment in described equipment group, and described total load index is the total load amount preset described equipment group; The optimum load amount of each equipment in equipment group according to described running parameter index selection, wherein, described optimum load amount be each equipment with the work of described running parameter index and reach top efficiency time corresponding load; From described equipment group, the first optimal device combination and the combination of the second optimal device is chosen according to the optimum load amount of each equipment in described equipment group, wherein, described first optimal device combination is the equipment combination that total optimum load amount is less than that in all devices combination of described total load index, total optimum load amount is maximum, and described second optimal device combination is the equipment combination that total optimum load amount is greater than that in all devices combination of described total load index, total optimum load amount is minimum; Acquisition uses described first optimal device to combine the described total load index of carrying and the first optimum load dispatch scheme corresponding when reaching least energy consumption and the described second optimal device combination of use carry described total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption; Select load distribution scheme that described first optimum load dispatch scheme and corresponding energy consumption in described second optimum load dispatch scheme are less as the actual load allocative decision of described equipment group work.
In certain embodiments, described acquisition uses the described first optimal device combination described total load index of carrying and the first optimum load dispatch scheme corresponding when reaching least energy consumption or the described second optimal device combination of described use carry described total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption, comprising: Optimal Parameters is set to the initial optimization parameter preset; Perform Optimization Steps, described Optimization Steps comprises: obtain each equipment power consumption corresponding when power consumption is Optimal Parameters to the rate of change of load in described first optimal device combination or the combination of the second optimal device and load; Calculate total load amount and the total power consumption of now described first optimal device combination or the combination of the second optimal device; Judge whether the difference of total load amount and described total load index is less than predetermined threshold value; If the difference of total load amount and described total load index is less than or equal to predetermined threshold value, then using each equipment load distribution scheme corresponding when power consumption is Optimal Parameters with the rate of change of load in described first optimal device combination or the combination of the second optimal device as the first optimum load dispatch scheme or the second optimum load dispatch scheme.
In certain embodiments, described initial optimization parameter is 1.
In certain embodiments, after described execution Optimization Steps, described acquisition uses the described first optimal device combination described total load index of carrying and the first optimum load dispatch scheme corresponding when reaching least energy consumption or the combination of described use second optimal device carry described total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption, also comprise: if the difference of total load amount and described total load index is greater than predetermined threshold value, difference according to total load amount and described total load index adjusts described Optimal Parameters, and continue to perform described Optimization Steps according to the Optimal Parameters after adjustment.
In certain embodiments, the described difference according to total load amount and described total load index is adjusted described Optimal Parameters and is realized by following formula: wherein, λ ' is the Optimal Parameters after adjustment, and λ is the Optimal Parameters before adjustment, and Δ is the value that the total load amount of current first optimal device combination or the combination of the second optimal device deducts after described total load index, it is preset constant.
In certain embodiments, after the actual load allocative decision of the less load distribution scheme of the described first optimum load dispatch scheme of described selection and corresponding energy consumption in described second optimum load dispatch scheme as described equipment group work, described method also comprises: send according to described actual load allocative decision corresponding equipment in described equipment group and start or stop order.
Second aspect, this application provides a kind of load distribution device for equipment group, described equipment group comprises the equipment of at least one identical type, described device comprises: instruction reception unit, be configured for the external command receiving and comprise running parameter index and total load index, wherein, described running parameter index is the running parameter preset the equipment in described equipment group, and described total load index is the total load amount preset described equipment group; Optimum load amount acquiring unit, be configured for the optimum load amount of each equipment in equipment group according to described running parameter index selection, wherein, described optimum load amount be each equipment with the work of described running parameter index and reach top efficiency time corresponding load; Unit is chosen in equipment combination, be configured for and from described equipment group, choose the first optimal device combination and the combination of the second optimal device according to the optimum load amount of each equipment in described equipment group, wherein, described first optimal device combination is the equipment combination that total optimum load amount is less than that in all devices combination of described total load index, total optimum load amount is maximum, and described second optimal device combination is the equipment combination that total optimum load amount is greater than that in all devices combination of described total load index, total optimum load amount is minimum; Load distribution scheme acquiring unit, is configured for and obtains the first optimum load dispatch scheme corresponding when using the described first optimal device combination described total load index of carrying and reach least energy consumption and the second optimum load dispatch scheme corresponding when using the described second optimal device combination described total load index of carrying and reach least energy consumption; Actual load allocative decision selection unit, is configured for the actual load allocative decision selecting described first optimum load dispatch scheme and the less load distribution scheme of corresponding energy consumption in described second optimum load dispatch scheme as described equipment group work.
In certain embodiments, described load distribution scheme acquiring unit comprises: optimum configurations subelement, is configured for the initial optimization parameter being set to by Optimal Parameters preset; Optimize subelement, be configured for execution Optimization Steps, described Optimization Steps comprises: obtain each equipment power consumption corresponding when power consumption is Optimal Parameters to the rate of change of load in described first optimal device combination or the combination of the second optimal device and load; Calculate total load amount and the total power consumption of now described first optimal device combination or the combination of the second optimal device; Judge whether the difference of total load amount and described total load index is less than predetermined threshold value; If the difference of total load amount and described total load index is less than or equal to predetermined threshold value, then using each equipment load distribution scheme corresponding when power consumption is Optimal Parameters with the rate of change of load in described first optimal device combination or the combination of the second optimal device as the first optimum load dispatch scheme or the second optimum load dispatch scheme.
In certain embodiments, described initial optimization parameter is 1.
In certain embodiments, described load distribution scheme acquiring unit also comprises: continue to optimize subelement, if the difference being configured for total load amount and described total load index is greater than predetermined threshold value, difference according to total load amount and described total load index adjusts described Optimal Parameters, and continues to perform described Optimization Steps according to the Optimal Parameters after adjustment.
In certain embodiments, describedly continue to optimize subelement and be configured for further: the described difference according to total load amount and described total load index is adjusted described Optimal Parameters and realized by following formula: wherein, λ ' is the Optimal Parameters after adjustment, and λ is the Optimal Parameters before adjustment, and Δ is the value that the total load amount of current first optimal device combination or the combination of the second optimal device deducts after described total load index, it is preset constant.
In certain embodiments, described device also comprises: command sending unit, is configured for and starts or stops order according to the corresponding equipment transmission in described equipment group of described actual load allocative decision.
The load distribution method for equipment group that the application provides and device, optimum load amount time the highest by each plant efficiency selects two optimum load dispatch schemes corresponding when these two equipment combinations of two optimum equipment group joint accounts reach least energy consumption, select to select final equipment start-stop and load distribution scheme in two optimum load dispatch schemes finally by energy consumption comparison, thus make equipment group can reach higher operational efficiency under the final scheme selected.
The third aspect, this application provides a kind of Load Distribution System for equipment group, described Load Distribution System comprises at least one equipment group opertaing device and at least one equipment group, described equipment group opertaing device is connected by network with at least one equipment group described, described equipment group comprises the equipment of at least one identical type, and described equipment group opertaing device comprises the load distribution device described in above-mentioned second aspect.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, the other features, objects and advantages of the application will become more obvious:
Fig. 1 is the exemplary system architecture figure that the application can be applied to wherein;
Fig. 2 is the process flow diagram of an embodiment of the load distribution method for equipment group according to the application;
Fig. 3 is the module map corresponding to an application scenarios of the load distribution method for equipment group of the application;
Fig. 4 is the process flow diagram of another embodiment of the load distribution method for equipment group according to the application;
Fig. 5 is the structural representation of an embodiment of the load distribution device for equipment group according to the application;
Fig. 6 is the structural representation of the computer system be suitable for for the terminal device or server realizing the embodiment of the present application.
Embodiment
Below in conjunction with drawings and Examples, the application is described in further detail.Be understandable that, specific embodiment described herein is only for explaining related invention, but not the restriction to this invention.It also should be noted that, for convenience of description, in accompanying drawing, illustrate only the part relevant to Invention.
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the application in detail in conjunction with the embodiments.
Fig. 1 shows the load distribution method for equipment group that can apply the application or the exemplary system architecture 100 for the embodiment of the load distribution device of equipment group.
As shown in Figure 1, system architecture 100 can comprise terminal device 101,102,103, network 104,106, server 105 and dynamo-electric entity device 107,108,109.Network 104,106 is in order at terminal device 101, between 102,103 and server 105 or provide the medium of communication link between server 105 and dynamo-electric entity device 107,108,109.Network 104 can comprise various connection type, such as wired, wireless communication link or fiber optic cables etc.
User can use terminal device 101,102,103 mutual by network 104 and server 105, comprises the message etc. such as running parameter index and total load index to send.Terminal device 101,102,103 can be provided with the application of various telecommunication customer end, such as web browser applications, industrial control software etc. can be used for the software sending instruction to server 105.
Terminal device 101,102,103 can be the various electronic equipments with display screen, include but not limited to smart mobile phone, panel computer, E-book reader, MP3 player (MovingPictureExpertsGroupAudioLayerIII, dynamic image expert compression standard audio frequency aspect 3), MP4 (MovingPictureExpertsGroupAudioLayerIV, dynamic image expert compression standard audio frequency aspect 4) player, pocket computer on knee and desk-top computer etc.
Server 105 can be to provide the server of equipment group control service, such as, to the background server that the web application that terminal device 101,102,103 runs or industrial control software provide support.Background server also can send control command according to load distribution scheme to dynamo-electric entity device 107,108,109 according to the external command determination load distribution scheme received, and runs by corresponding running parameter and load to control dynamo-electric entity device 107,108,109.Parameter corresponding for load distribution scheme also can output on terminal device 101,102,103 and show by background server.
The load distribution method for equipment group that the embodiment of the present application provides generally is performed by server 105, and correspondingly, the load distribution device for equipment group is generally positioned in server 105.
Should be appreciated that, the number of the terminal device in Fig. 1, network and server is only schematic.According to realizing needs, the terminal device of arbitrary number, network and server can be had.
Continue with reference to figure 2, show the flow process 200 of an embodiment of the load distribution method for equipment group according to the application.The described load distribution method for equipment group, comprises the following steps:
Step 201, receives the external command comprising running parameter index and total load index.
In the present embodiment, the electronic equipment (server such as shown in Fig. 1) run thereon for the load distribution method of equipment group can receive external command by wired connection mode or radio connection.Wherein, external command can be sent to electronic equipment by ambient systems.Equipment group is when determining load distribution scheme, and extraneous demand can as reference foundation.For equipment group, extraneous demand can comprise equipment parameters index and total load index.External system can preset running parameter index by external command to equipment group and total load index is imported in above-mentioned electronic equipment.Wherein, running parameter index is the running parameter that each equipment in same equipment group operationally needs to follow.Such as, running parameter index corresponding to water pump group can refer to pressure or the lift of water pump, and running parameter index corresponding to cold group can be cold in-water temperature.Total load index can be that equipment group need of work exports the total load that can meet ambient systems needs.Such as, the load total flow that should reach when water pump group total load index can be multiple pump working, the load general refrigeration ability that can reach when cold group total load index can be cold work.
It is pointed out that above-mentioned radio connection can include but not limited to 3G/4G connection, WiFi connection, bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultrawideband) connection and other radio connection developed known or future now.
Step 202, according to the optimum load amount of each equipment in running parameter index selection equipment group.
In the present embodiment, based on the running parameter index obtained in step 201, above-mentioned electronic equipment (server such as shown in Fig. 1) can obtain optimum load amount corresponding to each equipment in equipment group.Wherein, optimum load amount is the load that each equipment is corresponding when reaching top efficiency when working with this running parameter index.The ratio of the energy that efficiency effectively utilizes when can be equipment work and actual consumption energy.Corresponding, optimum load amount can be the load that this ratio is corresponding when reaching maximal value.The performance current due to plant efficiency and equipment is relevant, and the factors such as extraneous running parameter and equipment current performance are taken into account by therefore obtained optimum load amount.
Step 203, chooses the first optimal device combination and the combination of the second optimal device according to the optimum load amount of equipment each in equipment group from equipment group.
In the present embodiment, based on the optimum load amount that each equipment obtained in step 202 is corresponding, the first optimal device combination and the combination of the second optimal device can be chosen from equipment group.Equipment combination can be a subset of equipment group, can comprise at least one equipment in equipment group.First optimal device combination and the combination of the second optimal device are two the equipment combinations of total optimum load amount closest to total load index of correspondence in all devices combination.Wherein, first optimal device combination can be the equipment combination that in the total optimum load amount being less than total load index, maximum total optimum load amount is corresponding, and the second optimal device combination can be the equipment combination that in the total optimum load amount being greater than total load index, minimum total optimum load amount is corresponding.Concrete method, total optimum load amount that all devices can be combined and total load index sort by size, elect equipment combination corresponding for two total optimum load amounts near total load index as the first optimal device combination and the combination of the second optimal device respectively.
Optionally, the first optimal device combination is chosen by formula (1).
min Σ C + x i * - X 0
s . t . Σ C + x i * ≥ X 0
Wherein, x i* be that individual equipment is with running parameter index Y 0work and optimum load amount when reaching top efficiency, X 0for total load index, C +be the first optimum combination, C -it is the second optimum combination.The physical significance of each symbol hereinafter in formula (2), (3) is identical with formula (2).
Known according to above formula (1), when total optimum load amount of equipment combination is greater than total load index, equipment combination corresponding when the difference that total optimum load amount deducts total load index reaches minimum can as the first optimal device combination.
Optionally, the second optimal device combination is chosen by formula (2).
min X 0 - Σ C - x i *
s . t . Σ C - x i * ≤ X 0
Known according to formula (2), when total optimum load amount of equipment combination is less than total load index, equipment combination corresponding when the difference that total load index deducts total optimum load amount reaches minimum can as the second optimal device combination.
Step 204, the combination of acquisition use first optimal device carries total load index and the first optimum load dispatch scheme corresponding when reaching least energy consumption and use second optimal device combine carrying total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption.
After first optimal device combination selected according to step 203 and the combination of the second optimal device, this two each self-corresponding optimum load dispatch schemes of optimal device combination can be obtained further.
For the first optimal device combination, multiple load distribution scheme can be adopted to ensure that the load sum of each equipment carrying in the combination of this equipment reaches total load index.For these total load allocative decisions, conduct first optimum load dispatch scheme wherein least in power-consuming can be obtained.
Can be identical to selected the first corresponding optimum load dispatch scheme of the first optimal device combination to the mode adopted during the second selected the second corresponding optimum load dispatch scheme of optimal device combination, repeat no more here.
Optionally, the first optimum load dispatch scheme or the second optimal distributing scheme can be selected by following formula (3).
min Σ C p i ( x i ; Y 0 )
s . t . Σ C x i = X 0
Wherein, x ifor the load of each device assumes, Y 0for running parameter index, X 0for total load index, C is the first optimal device combination or the combination of the second optimal device, p ifor the power consumption of each equipment.
Known according to formula (3), when total load index is born in equipment combination in load distribution scheme and in equipment combination, the summation of each equipment power dissipation is minimum, this load distribution scheme is the first optimal distributing scheme or the second optimal distributing scheme that will select.
Step 205, selects load distribution scheme that the first optimum load dispatch scheme and corresponding energy consumption in the second optimum load dispatch scheme are less as the actual load allocative decision of equipment group work.Optionally, electronic equipment can also by the data feedback corresponding to load distribution scheme to external system, so that data export by external system.
In the present embodiment, get according to step 204 first optimum load dispatch scheme and the second optimum load dispatch scheme as load distribution scheme to be selected after, the scheme that in both above-mentioned electronic equipment can continue to select, corresponding power consumption is less is as final actual load allocative decision.
In some optional implementations of the present embodiment, after selecting actual load allocative decision by step 205, can also send according to this actual load allocative decision corresponding equipment in equipment group and start or stop order.
Continuation is the module rack composition corresponding to a kind of application scenarios of the load distribution method for equipment group of the present embodiment see Fig. 3, Fig. 3.In the module architectures 300 of Fig. 3, system module can be the electronic equipment of above-mentioned execution load distribution method.The running parameter index comprised in instruction, after receiving external command, first can be sent to each local module by system module, and local module can calculate optimum load amount according to running parameter and feed back to system module.Then, system module can determine the first optimal device combination and the combination of the second optimal device according to optimum load amount, and two kinds of load distribution schemes corresponding when obtaining this two optimal device combination lowest power consumption by the calculating of system module, final system module can select the final actual load distribution scheme used according to the power consumption of two kinds of load distribution schemes.It should be noted that, above-mentioned local module can with independently hardware device be corresponding, and system module then with independently hardware device is corresponding, but can not perform corresponding function by the local control of some equipment.Also it should be noted that, said method by virtual local control and system controller in central machine, can also be performed the function of said system module and local control module respectively by system controller, local control.It may occur to persons skilled in the art that, the method that can also realize described in above-described embodiment by other frameworks.
The efficiency of the running parameter that the method that above-described embodiment of the application provides provides according to the external world and electromechanical equipment self obtains optimum load amount and equipment to be selected combination, again by the load distribution scheme that the energy consumption of load distribution scheme is finally most effective, achieve the optimization of equipment group efficiency and the reduction of power consumption.Visible, this load distribution method for equipment group, effectively can improve the present situation that existing team control product lacks system real-time optimization regulatory function, and energy rational allocation equipment start-stop, prevents overequipment from running and premature ageing.Meanwhile, also can adopt flexibly, easily dcs perform the method, lower to the dependency degree of individual equipment, breaking down and still can keep stable operation in local, can adapt to the changeable transformation of engineering site and repair.
With further reference to Fig. 4, it illustrates the flow process 400 of another embodiment of the load distribution method for equipment group.This is used for the flow process 400 of the load distribution method of equipment group, comprises the following steps:
Step 401, receives the external command comprising running parameter index and total load index.
In the present embodiment, step 401 is substantially identical with the step 201 in embodiment corresponding to Fig. 2, repeats no more here.
Step 402, according to the optimum load amount of each equipment in running parameter index selection equipment group.
In the present embodiment, step 402 is substantially identical with the step 202 in embodiment corresponding to Fig. 2, repeats no more here.
Step 403, chooses the first optimal device combination and the combination of the second optimal device according to the optimum load amount of equipment each in equipment group from equipment group.
In the present embodiment, step 403 is substantially identical with the step 203 in embodiment corresponding to Fig. 3, repeats no more here.
Step 404, is set to the initial optimization parameter preset by Optimal Parameters.
In the present embodiment, Optimal Parameters can be set to the initial optimization parameter preset, this Optimal Parameters can use in the Optimization Steps of step 405.
In some optional implementations of the present embodiment, initial optimization parameter can be set to 1.
Step 405, performs Optimization Steps.
In the present embodiment, the first optimum load dispatch scheme that obtains in Optimization Steps is substantially identical with the implementation of the second optimum load dispatch scheme of acquisition, has the process of load distribution scheme to be specifically described most below to obtaining first by Optimization Steps.
First, electronic equipment can obtain each equipment power consumption corresponding when power consumption is Optimal Parameters to the rate of change of load in the first optimal device combination and load.For each equipment, when running parameter is determined, the size of power consumption is relevant with load.Therefore, load can be considered as independent variable and power consumption is considered as the dependent variable relevant with this independent variable.When independent variable changes, dependent variable also changes thereupon, and under can calculating various situation, dependent variable is to the rate of change of independent variable, is the rate of change of power consumption to load.For the equipment multiple of the same type of common carrying total load, when in each equipment, the rate of change of power consumption to load is identical, the power consumption of carrying corresponding to same load is minimum, therefore can using load distribution scheme corresponding when the rate of change of power consumption to load is identical in each equipment as load distribution scheme to be selected.
Secondly, in the combination of acquisition first optimal device each equipment power consumption and load after, the total load amount that now the first optimal device combines can be calculated.
Then, judge whether the difference of total load amount and total load index is less than predetermined threshold value.Wherein, predetermined threshold value can be set to less value, make the total load amount that satisfies condition and total load index close as far as possible, thus make system can meet the demand of ambient systems to load as far as possible.
Finally, if the difference of total load amount and total load index is less than or equal to predetermined threshold value, then using each equipment load distribution scheme corresponding when power consumption is Optimal Parameters with the rate of change of load of the first optimal device combination as the first optimum load dispatch scheme.When the difference of total load amount and total load index is less than or equal to predetermined threshold value, illustrate that the total load amount of now equipment group carrying has reached total load index, can by the first optimum load dispatch scheme the most of load distribution scheme now, to treat next step selection.
Step 406, selects load distribution scheme that the first optimum load dispatch scheme and corresponding energy consumption in the second optimum load dispatch scheme are less as the actual load allocative decision of equipment group work.
In the present embodiment, step 406 is substantially identical with the step 206 in embodiment corresponding to Fig. 2, repeats no more here.
Compared with the embodiment that Fig. 2 is corresponding, further restriction has been carried out by the mode of Optimization Steps to acquisition first optimum load dispatch scheme and the second optimum load dispatch scheme in the step 405 of the present embodiment, this mode can obtain least in power-consuming in the first optimal device combination or the combination of the second optimal device and can meet scheme that external load requires as load distribution scheme to be selected in step 406, thus makes corresponding least in power-consuming of the final actual load allocative decision selected.
In some optional implementations in the present embodiment, in step 405 after execution Optimization Steps, can also comprise: if the difference of total load amount and total load index is greater than predetermined threshold value, difference according to total load amount and total load index adjusts Optimal Parameters, and continues to perform above-mentioned Optimization Steps according to the Optimal Parameters after adjustment.In this implementation, if the difference of total load amount and total load index is greater than predetermined threshold value, illustrate that total load amount that now load distribution scheme is corresponding has bigger difference with needing the total load index carried, the demand being difficult to meet ambient systems or the demand exceeding ambient systems and cause the waste of load.Therefore, need to adjust parameter, and the parameter after adjustment is continued to perform above-mentioned Optimization Steps.Electronic equipment can circulate and perform said process until the difference of total load amount and total load index is less than or equal to predetermined threshold value.This optional implementation is when the total load amount that current loads allocative decision is corresponding can not mate total load index, load distribution scheme can be upgraded with reference to the difference adjusting and optimizing parameter of current total load amount and total load index according to the Optimal Parameters after adjusting, total load amount can be made finally to meet total load index by continuous adjustment.
In some optional implementations in the present embodiment, the above-mentioned difference according to total load amount and total load index is carried out adjustment to Optimal Parameters and can be realized by following formula:
Wherein, λ ' is the Optimal Parameters after adjustment, and λ is the Optimal Parameters before adjustment, and Δ is the value that the total load amount of current first optimal device combination or the combination of the second optimal device deducts after total load index, it is preset constant.
Use above formula to adjust Optimal Parameters, can the amplitude that each Optimal Parameters adjusts accurately be controlled, improve the efficiency of Optimal Parameters adjustment, thus reduce the time of whole method execution.
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, this application provides an a kind of embodiment of the load distribution device for equipment group, this device embodiment is corresponding with the embodiment of the method shown in Fig. 2, and this device specifically can be applied in various electronic equipment.
As shown in Figure 5, the load distribution device 500 for equipment group described in the present embodiment comprises: unit 503, load distribution scheme acquiring unit 504 and actual load allocative decision selection unit 505 are chosen in the combination of instruction reception unit 501, optimum load amount acquiring unit 502, equipment.Wherein, instruction reception unit 501 is configured for the external command receiving and comprise running parameter index and total load index; Optimum load amount acquiring unit 502 is configured for the optimum load amount according to each equipment in above-mentioned running parameter index selection equipment group; Equipment combination choose unit 503 be configured for according to the optimum load amount of equipment each in equipment group choose from equipment group first optimal device combination and the second optimal device combine; Load distribution scheme acquiring unit 504 is configured for the first optimum load dispatch scheme corresponding when obtaining use first optimal device combination carrying total load index and reach least energy consumption and the second optimum load dispatch scheme corresponding when using the second optimal device combination carrying total load index and reach least energy consumption; And actual load allocative decision selection unit 505 is configured for the actual load allocative decision of the less load distribution scheme of selection first optimum load dispatch scheme and corresponding energy consumption in the second optimum load dispatch scheme as equipment group work.
In the present embodiment, the instruction reception unit 501 for the load distribution device 500 of equipment group can receive external command by wired connection mode or radio connection.Wherein, external command can be sent to electronic equipment by ambient systems.External system can preset running parameter index and total load index by external command to equipment group.Wherein, running parameter index is the running parameter that each equipment in same equipment group operationally needs to follow.Such as, running parameter index corresponding to water pump group can refer to pressure or the lift of water pump, and running parameter index corresponding to cold group can be cold in-water temperature.Total load index can be that equipment group need of work exports the total load that can meet ambient systems needs.Such as, the load total flow that should reach when water pump group total load index can be multiple pump working, the load general refrigeration ability that can reach when cold group total load index can be cold work.
In the present embodiment, based on the running parameter index that instruction reception unit 501 obtains, optimum load amount acquiring unit 502 can obtain optimum load amount corresponding to each equipment in equipment group.Wherein, optimum load amount is the load that each equipment is corresponding when reaching top efficiency when working with this running parameter index.The ratio of the energy that efficiency effectively utilizes when can be equipment work and actual consumption energy.Corresponding, optimum load amount can be that this ratio reaches load corresponding to maximal value.
In the present embodiment, the optimum load amount that unit 503 can be corresponding based on each equipment obtained in optimum load amount acquiring unit 502 is chosen in equipment combination, can choose the first optimal device combination and the second optimal device combines from equipment group.First optimal device combination and the combination of the second optimal device are two the equipment combinations of total optimum load amount closest to total load index of correspondence in all devices combination.Wherein, first optimal device combination can be the equipment combination that in the total optimum load amount being less than total load index, maximum total optimum load amount is corresponding, and the second optimal device combination can be the equipment combination that in the total optimum load amount being greater than total load index, minimum total optimum load amount is corresponding.
In the present embodiment, load distribution scheme acquiring unit 504 after choose the selected first optimal device combination of unit 503 and the combination of the second optimal device according to equipment combination, can obtain further these two optimal device combine each comfortable energy consumptions minimum time the first corresponding optimum load dispatch scheme and the second optimum load dispatch scheme.
In the present embodiment, after getting the first optimum load dispatch scheme and the second optimum load dispatch scheme according to load distribution scheme acquiring unit 504, in both actual load allocative decision selection unit 505 can continue to select, the minimum scheme of corresponding load is as final actual load allocative decision.
It will be appreciated by those skilled in the art that, the above-mentioned load distribution device 500 for equipment group also comprises some other known features, such as processor, storer etc., in order to unnecessarily fuzzy embodiment of the present disclosure, these known structures are not shown in Figure 5.
The embodiment of the present application additionally provides a kind of Load Distribution System for equipment group, and this Load Distribution System comprises at least one equipment group opertaing device and at least one equipment group, and equipment group opertaing device can be connected by network with equipment group.Wherein, equipment group opertaing device can comprise the corresponding load distribution device described in embodiment of Fig. 3, and equipment group comprises the equipment of at least one identical type.
Below with reference to Fig. 6, it illustrates the structural representation of the computer system 600 of terminal device or the server be suitable for for realizing the embodiment of the present application.
As shown in Figure 6, computer system 600 comprises CPU (central processing unit) (CPU) 601, and it or can be loaded into the program random access storage device (RAM) 603 from storage area 608 and perform various suitable action and process according to the program be stored in ROM (read-only memory) (ROM) 602.In RAM603, also store system 600 and operate required various program and data.CPU601, ROM602 and RAM603 are connected with each other by bus 604.I/O (I/O) interface 605 is also connected to bus 604.
I/O interface 605 is connected to: the importation 606 comprising keyboard, mouse etc. with lower component; Comprise the output 607 of such as cathode-ray tube (CRT) (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.; Comprise the storage area 608 of hard disk etc.; And comprise the communications portion 609 of network interface unit of such as LAN card, modulator-demodular unit etc.Communications portion 609 is via the network executive communication process of such as the Internet.Driver 610 is also connected to I/O interface 605 as required.Detachable media 611, such as disk, CD, magneto-optic disk, semiconductor memory etc., be arranged on driver 610 as required, so that the computer program read from it is mounted into storage area 608 as required.
Especially, according to embodiment of the present disclosure, the process that reference flow sheet describes above may be implemented as computer software programs.Such as, embodiment of the present disclosure comprises a kind of computer program, and it comprises the computer program visibly comprised on a machine-readable medium, and described computer program comprises the program code for the method shown in flowchart.In such embodiments, this computer program can be downloaded and installed from network by communications portion 609, and/or is mounted from detachable media 611.
Process flow diagram in accompanying drawing and block diagram, illustrate according to the architectural framework in the cards of the system of the various embodiment of the application, method and computer program product, function and operation.In this, each square frame in process flow diagram or block diagram can represent a part for module, program segment or a code, and a part for described module, program segment or code comprises one or more executable instruction for realizing the logic function specified.Also it should be noted that at some as in the realization of replacing, the function marked in square frame also can be different from occurring in sequence of marking in accompanying drawing.Such as, in fact the square frame that two adjoining lands represent can perform substantially concurrently, and they also can perform by contrary order sometimes, and this determines according to involved function.Also it should be noted that, the combination of the square frame in each square frame in block diagram and/or process flow diagram and block diagram and/or process flow diagram, can realize by the special hardware based system of the function put rules into practice or operation, or can realize with the combination of specialized hardware and computer instruction.
Be described in unit involved in the embodiment of the present application to be realized by the mode of software, also can be realized by the mode of hardware.Described unit also can be arranged within a processor, such as, can be described as: a kind of processor comprise instruction reception unit, optimum load amount acquiring unit, equipment combination choose unit, load distribution scheme acquiring unit and actual load allocative decision selection unit.Wherein, the title of these unit does not form the restriction to this unit itself under certain conditions, and such as, instruction reception unit can also be described to " reception comprises the unit of the external command of running parameter index and total load index ".
As another aspect, present invention also provides a kind of non-volatile computer storage medium, this non-volatile computer storage medium can be the non-volatile computer storage medium comprised in device described in above-described embodiment; Also can be individualism, be unkitted the non-volatile computer storage medium allocated in terminal.Above-mentioned non-volatile computer storage medium stores one or more program, when one or more program described is performed by an electronic equipment, make described electronic equipment: receive the external command comprising running parameter index and total load index, wherein, described running parameter index is the running parameter preset the equipment in equipment group, described equipment group comprises the equipment of at least one identical type, and described total load index is the total load amount preset described equipment group; The optimum load amount of each equipment in equipment group according to described running parameter index selection, wherein, described optimum load amount be each equipment with the work of described running parameter index and reach top efficiency time corresponding load; From described equipment group, the first optimal device combination and the combination of the second optimal device is chosen according to the optimum load amount of each equipment in described equipment group, wherein, described first optimal device combination is the equipment combination that total optimum load amount is less than that in all devices combination of described total load index, total optimum load amount is maximum, and described second optimal device combination is the equipment combination that total optimum load amount is greater than that in all devices combination of described total load index, total optimum load amount is minimum; Acquisition uses described first optimal device to combine the described total load index of carrying and the first optimum load dispatch scheme corresponding when reaching least energy consumption and the described second optimal device combination of use carry described total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption; Select load distribution scheme that described first optimum load dispatch scheme and corresponding energy consumption in described second optimum load dispatch scheme are less as the actual load allocative decision of described equipment group work.
More than describe and be only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art are to be understood that, invention scope involved in the application, be not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, also should be encompassed in when not departing from described inventive concept, other technical scheme of being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed simultaneously.The technical characteristic that such as, disclosed in above-mentioned feature and the application (but being not limited to) has similar functions is replaced mutually and the technical scheme formed.

Claims (13)

1. for a load distribution method for equipment group, it is characterized in that, described equipment group comprises the equipment of at least one identical type, and described method comprises:
Receive the external command comprising running parameter index and total load index, wherein, described running parameter index is the running parameter preset the equipment in described equipment group, and described total load index is the total load amount preset described equipment group;
The optimum load amount of each equipment in equipment group according to described running parameter index selection, wherein, described optimum load amount be each equipment with the work of described running parameter index and reach top efficiency time corresponding load;
From described equipment group, the first optimal device combination and the combination of the second optimal device is chosen according to the optimum load amount of each equipment in described equipment group, wherein, described first optimal device combination is the equipment combination that total optimum load amount is less than that in all devices combination of described total load index, total optimum load amount is maximum, and described second optimal device combination is the equipment combination that total optimum load amount is greater than that in all devices combination of described total load index, total optimum load amount is minimum;
Acquisition uses described first optimal device to combine the described total load index of carrying and the first optimum load dispatch scheme corresponding when reaching least energy consumption and the described second optimal device combination of use carry described total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption;
Select load distribution scheme that described first optimum load dispatch scheme and corresponding energy consumption in described second optimum load dispatch scheme are less as the actual load allocative decision of described equipment group work.
2. method according to claim 1, it is characterized in that, described acquisition uses the described first optimal device combination described total load index of carrying and the first optimum load dispatch scheme corresponding when reaching least energy consumption or the described second optimal device combination of described use carry described total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption, comprising:
Optimal Parameters is set to the initial optimization parameter preset;
Perform Optimization Steps, described Optimization Steps comprises: obtain each equipment power consumption corresponding when power consumption is Optimal Parameters to the rate of change of load in described first optimal device combination or the combination of the second optimal device and load; Calculate total load amount and the total power consumption of now described first optimal device combination or the combination of the second optimal device; Judge whether the difference of total load amount and described total load index is less than predetermined threshold value; If the difference of total load amount and described total load index is less than or equal to predetermined threshold value, then using each equipment load distribution scheme corresponding when power consumption is Optimal Parameters with the rate of change of load in described first optimal device combination or the combination of the second optimal device as the first optimum load dispatch scheme or the second optimum load dispatch scheme.
3. method according to claim 2, is characterized in that, described initial optimization parameter is 1.
4. method according to claim 2, it is characterized in that, after described execution Optimization Steps, described acquisition uses the described first optimal device combination described total load index of carrying and the first optimum load dispatch scheme corresponding when reaching least energy consumption or the combination of described use second optimal device carry described total load index and the second optimum load dispatch scheme corresponding when reaching least energy consumption, also comprises:
If the difference of total load amount and described total load index is greater than predetermined threshold value, the difference according to total load amount and described total load index adjusts described Optimal Parameters, and continues to perform described Optimization Steps according to the Optimal Parameters after adjustment.
5. method according to claim 4, is characterized in that, the described difference according to total load amount and described total load index is adjusted described Optimal Parameters and realized by following formula:
Wherein, λ ' is the Optimal Parameters after adjustment, and λ is the Optimal Parameters before adjustment, and Δ is the value that the total load amount of current first optimal device combination or the combination of the second optimal device deducts after described total load index, it is preset constant.
6. according to the method one of claim 1-5 Suo Shu, it is characterized in that, after the actual load allocative decision of the less load distribution scheme of the described first optimum load dispatch scheme of described selection and corresponding energy consumption in described second optimum load dispatch scheme as described equipment group work, described method also comprises:
Send according to described actual load allocative decision corresponding equipment in described equipment group and start or stop order.
7. for a load distribution device for equipment group, it is characterized in that, described equipment group comprises the equipment of at least one identical type, and described device comprises:
Instruction reception unit, be configured for the external command receiving and comprise running parameter index and total load index, wherein, described running parameter index is the running parameter preset the equipment in described equipment group, and described total load index is the total load amount preset described equipment group;
Optimum load amount acquiring unit, be configured for the optimum load amount of each equipment in equipment group according to described running parameter index selection, wherein, described optimum load amount be each equipment with the work of described running parameter index and reach top efficiency time corresponding load;
Unit is chosen in equipment combination, be configured for and from described equipment group, choose the first optimal device combination and the combination of the second optimal device according to the optimum load amount of each equipment in described equipment group, wherein, described first optimal device combination is the equipment combination that total optimum load amount is less than that in all devices combination of described total load index, total optimum load amount is maximum, and described second optimal device combination is the equipment combination that total optimum load amount is greater than that in all devices combination of described total load index, total optimum load amount is minimum;
Load distribution scheme acquiring unit, is configured for and obtains the first optimum load dispatch scheme corresponding when using the described first optimal device combination described total load index of carrying and reach least energy consumption and the second optimum load dispatch scheme corresponding when using the described second optimal device combination described total load index of carrying and reach least energy consumption;
Actual load allocative decision selection unit, is configured for the actual load allocative decision selecting described first optimum load dispatch scheme and the less load distribution scheme of corresponding energy consumption in described second optimum load dispatch scheme as described equipment group work.
8. device according to claim 7, is characterized in that, described load distribution scheme acquiring unit comprises:
Optimum configurations subelement, is configured for the initial optimization parameter being set to by Optimal Parameters preset;
Optimize subelement, be configured for execution Optimization Steps, described Optimization Steps comprises: obtain each equipment power consumption corresponding when power consumption is Optimal Parameters to the rate of change of load in described first optimal device combination or the combination of the second optimal device and load; Calculate total load amount and the total power consumption of now described first optimal device combination or the combination of the second optimal device; Judge whether the difference of total load amount and described total load index is less than predetermined threshold value; If the difference of total load amount and described total load index is less than or equal to predetermined threshold value, then using each equipment load distribution scheme corresponding when power consumption is Optimal Parameters with the rate of change of load in described first optimal device combination or the combination of the second optimal device as the first optimum load dispatch scheme or the second optimum load dispatch scheme.
9. device according to claim 8, is characterized in that, described initial optimization parameter is 1.
10. device according to claim 8, is characterized in that, described load distribution scheme acquiring unit also comprises:
Continue to optimize subelement, if the difference being configured for total load amount and described total load index is greater than predetermined threshold value, difference according to total load amount and described total load index adjusts described Optimal Parameters, and continues to perform described Optimization Steps according to the Optimal Parameters after adjustment.
11. devices according to claim 10, is characterized in that, describedly continue to optimize subelement and are configured for further: the described difference according to total load amount and described total load index is adjusted described Optimal Parameters and realized by following formula:
Wherein, λ ' is the Optimal Parameters after adjustment, and λ is the Optimal Parameters before adjustment, and Δ is the value that the total load amount of current first optimal device combination or the combination of the second optimal device deducts after described total load index, it is preset constant.
12., according to the device one of claim 7-11 Suo Shu, is characterized in that, described device also comprises:
Command sending unit, is configured for and starts or stops order according to the corresponding equipment transmission in described equipment group of described actual load allocative decision.
13. 1 kinds of Load Distribution Systems for equipment group, it is characterized in that, described Load Distribution System comprises at least one equipment group opertaing device and at least one equipment group, described equipment group opertaing device is connected by network with at least one equipment group described, described equipment group comprises the equipment of at least one identical type, and described equipment group opertaing device comprises the described load distribution device of one of claim 7-12.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110135763A (en) * 2019-05-28 2019-08-16 北京上格云技术有限公司 Monitoring method, readable storage medium storing program for executing and the electronic equipment of power consumption
CN113112082A (en) * 2021-04-21 2021-07-13 上海电力大学 Two-stage operation optimization method for distributed system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080082981A1 (en) * 2006-10-02 2008-04-03 Japan Aerospace Expioraion Agency, Institute Of Space And Astronautical Science Autonomous distributed control involving constraint on resources
CN101593979A (en) * 2009-07-06 2009-12-02 贵阳高新金辰软件有限公司 A kind of thermal power plant level of factory load optimized distribution method and device
CN103912966A (en) * 2014-03-31 2014-07-09 武汉科技大学 Optimal control method for ground source heat pump refrigerating system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080082981A1 (en) * 2006-10-02 2008-04-03 Japan Aerospace Expioraion Agency, Institute Of Space And Astronautical Science Autonomous distributed control involving constraint on resources
CN101593979A (en) * 2009-07-06 2009-12-02 贵阳高新金辰软件有限公司 A kind of thermal power plant level of factory load optimized distribution method and device
CN103912966A (en) * 2014-03-31 2014-07-09 武汉科技大学 Optimal control method for ground source heat pump refrigerating system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
施志钢 等: "多台冷水机组的负荷最优化分配策略", 《建筑科学》 *
王宏捷 等: "火电厂机组负荷优化分配与调度的研究", 《福建电力与电工》 *
邓丽丽 等: "Memetic算法在水电站负荷优化分配中的应用", 《水利水电科技进展》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110135763A (en) * 2019-05-28 2019-08-16 北京上格云技术有限公司 Monitoring method, readable storage medium storing program for executing and the electronic equipment of power consumption
CN110135763B (en) * 2019-05-28 2022-03-25 北京上格云技术有限公司 Method for monitoring power consumption, readable storage medium and electronic device
CN113112082A (en) * 2021-04-21 2021-07-13 上海电力大学 Two-stage operation optimization method for distributed system
CN113112082B (en) * 2021-04-21 2023-04-28 上海电力大学 Two-stage operation optimization method for distributed system

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